Enhancing Digital Forensics Evidence Analysis with Large Language Models

In an era where justice and accountability increasingly depend on digital evidence, Large Language Models (LLMs) offer transformative potential for digital forensics. This three-hour Hands-on tutorial explores how LLMs can automate investigations, reveal hidden insights, and enhance evidence analysis. Through real-world case studies, interactive exercises, and hands-on labs, participants will learn to leverage LLMs for tasks such as entity identification, evidence processing, and knowledge graph reconstruction. Designed for professionals, researchers, and students, this collaborative learning experience equips attendees with practical skills to innovate in digital forensics. As LLMs reshape the field, this tutorial underscores their role in improving justice outcomes, strengthening accountability, and advancing the future of digital investigations.

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Publication Details

Published
2025-08-03
DOI
https://doi.org/10.1145/3711896.3737600
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhancing Digital Forensics Evidence Analysis with Large Language Models

Eric Xu, Lin Deng
Digital and Cyber Forensics
article

Enhancing Digital Forensics Evidence Analysis with Large Language Models

Eric Xu, Lin Deng
article en

Abstract

In an era where justice and accountability increasingly depend on digital evidence, Large Language Models (LLMs) offer transformative potential for digital forensics. This three-hour Hands-on tutorial explores how LLMs can automate investigations, reveal hidden insights, and enhance evidence analysis. Through real-world case studies, interactive exercises, and hands-on labs, participants will learn to leverage LLMs for tasks such as entity identification, evidence processing, and knowledge graph reconstruction. Designed for professionals, researchers, and students, this collaborative learning experience equips attendees with practical skills to innovate in digital forensics. As LLMs reshape the field, this tutorial underscores their role in improving justice outcomes, strengthening accountability, and advancing the future of digital investigations.

Towson University (US), University of Maryland, College Park (US)
Bureau of Justice Assistance
Gender equality
Openalex Percentile: Top 72%
Digital and Cyber Forensics
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Enhancing Digital Forensics Evidence Analysis with Large Language Models — Eric Xu, Lin Deng · (2025) | TGRS Research Map | TGRS